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model_train.py   including the train phase, evaluation phase and testing phase
model_def.py   construct generator network and discriminator network
util.py  handle with datasets information

run python model_train.py

record.csv   recording the expermental results in Apache with 5n size of sample
results.doc   the expermental results in all datasets

Prerequisites  Python 3.6.x
               pytorch 0.3.0

Yangyang Shu's Projects

contrastivecrop icon contrastivecrop

[CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning

dilo icon dilo

Code and pertained models for the paper "Distilling Localization for Self-Supervised Representation Learning"

fixmatch-pytorch icon fixmatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

ganperf icon ganperf

GANPerf is a deep learning with generative adversarial network that can train a software performance prediction model from a limited number of samples and predict the performance value of a new configuration.

moco icon moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

pcm icon pcm

Official implementation of PCM "Progressive Class Semantic Matching for Semi-supervised Text Classification"

self-tuning icon self-tuning

Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)

simsiam icon simsiam

A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

torchssl icon torchssl

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

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